app.py

# Import necessary libraries
from kokoro import KPipeline

import soundfile as sf
import torch

import soundfile as sf
import os
from moviepy.editor import VideoFileClip, AudioFileClip, ImageClip
from PIL import Image
import tempfile
import random
import cv2
import math
import os, requests, io, time, re, random
from moviepy.editor import (
    VideoFileClip, concatenate_videoclips, AudioFileClip, ImageClip,
    CompositeVideoClip, TextClip, CompositeAudioClip
)
import gradio as gr
import shutil
import os
import moviepy.video.fx.all as vfx
import moviepy.config as mpy_config
from pydub import AudioSegment
from pydub.generators import Sine

from PIL import Image, ImageDraw, ImageFont
import numpy as np
from bs4 import BeautifulSoup
import base64
from urllib.parse import quote
import pysrt
from gtts import gTTS
import gradio as gr  # Import Gradio

# Initialize Kokoro TTS pipeline (using American English)
pipeline = KPipeline(lang_code='a')  # Use voice 'af_heart' for American English
# Ensure ImageMagick binary is set
mpy_config.change_settings({"IMAGEMAGICK_BINARY": "/usr/bin/convert"})

# ---------------- Global Configuration ---------------- #
PEXELS_API_KEY = 'BhJqbcdm9Vi90KqzXKAhnEHGsuFNv4irXuOjWtT761U49lRzo03qBGna'
OPENROUTER_API_KEY = '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'
OPENROUTER_MODEL = "mistralai/mistral-small-3.1-24b-instruct:free"
OUTPUT_VIDEO_FILENAME = "final_video.mp4"
USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36"



# Additional global variables needed for the Gradio interface
selected_voice = 'af_heart'  # Default voice
voice_speed = 0.9  # Default voice speed
font_size = 45  # Default font size
video_clip_probability = 0.25  # Default probability for video clips
bg_music_volume = 0.08  # Default background music volume
fps = 30  # Default FPS
preset = "veryfast"  # Default preset
TARGET_RESOLUTION = None
CAPTION_COLOR = None
TEMP_FOLDER = None


# ---------------- Helper Functions ---------------- #
# (Your existing helper functions remain unchanged: generate_script, parse_script,
# search_pexels_videos, search_pexels_images, search_google_images, download_image,
# download_video, generate_media, generate_tts, apply_kenburns_effect,
# resize_to_fill, find_mp3_files, add_background_music, create_clip,
# fix_imagemagick_policy)

# Define these globally as they were in your original code but will be set per run
TARGET_RESOLUTION = None
CAPTION_COLOR = None
TEMP_FOLDER = None

def generate_script(user_input):
    """Generate documentary script with proper OpenRouter handling."""
    headers = {
        'Authorization': f'Bearer {OPENROUTER_API_KEY}',
        'HTTP-Referer': 'https://your-domain.com',
        'X-Title': 'AI Documentary Maker'
    }

    prompt = f"""Short Documentary Script GeneratorInstructions:

If I say "use this," just output the script exactly as I gave it.
If I only give topics, generate a script based on them.
If I provide a full script, rewrite it without any changes. Make everything short simple and humarous funny and act as serious but humarous. And don't say anything off topic. Also alway say a funny statement to subscribe based on the video topic at the end. Use normal conversational text like a normal person talking and avoid AI phase make the statements humanize and normal conversational
And always talk negative views don't really wants any positive statement and the full script will be one video about one topic so keep in mind
Formatting Rules:


Title in Square Brackets:


Each section starts with a one-word title inside [ ] (max two words if necessary).
This title will be used as a search term for Pexels footage.



Casual & Funny Narration:


Each section has 5-10 words of narration.
Keep it natural, funny, and unpredictable (not robotic, poetic, or rhythmic).



No Special Formatting:


No bold, italics, or special characters. You are a assistant AI your task is to create script. You aren't a chatbot. So, don't write extra text



Generalized Search Terms:


If a term is too specific, make it more general for Pexels search.



Scene-Specific Writing:


Each section describes only what should be shown in the video.



Output Only the Script, and also make it funny and humarous and helirous and also add to subscribe with a funny statement like subscribe now or .....


No extra text, just the script.



Example Output:
[North Korea]

Top 5 unknown facts about North Korea.

[Invisibility]

North Korea’s internet speed is so fast… it doesn’t exist.

[Leadership]

Kim Jong-un once won an election with 100% votes… against himself.

[Magic]

North Korea discovered time travel. That’s why their news is always from the past.

[Warning]

Subscribe now, or Kim Jong-un will send you a free one-way ticket… to North Korea.

[Freedom]

North Korean citizens can do anything… as long as it's government-approved.
Now here is the Topic/scrip: {user_input}
"""

    data = {
        'model': OPENROUTER_MODEL,
        'messages': [{'role': 'user', 'content': prompt}],
        'temperature': 0.4,
        'max_tokens': 5000
    }

    try:
        response = requests.post(
            'https://openrouter.ai/api/v1/chat/completions',
            headers=headers,
            json=data,
            timeout=30
        )

        if response.status_code == 200:
            response_data = response.json()
            if 'choices' in response_data and len(response_data['choices']) > 0:
                return response_data['choices'][0]['message']['content']
            else:
                print("Unexpected response format:", response_data)
                return None
        else:
            print(f"API Error {response.status_code}: {response.text}")
            return None

    except Exception as e:
        print(f"Request failed: {str(e)}")
        return None

def parse_script(script_text):
    """
    Parse the generated script into a list of elements.
    For each section, create two elements:
      - A 'media' element using the section title as the visual prompt.
      - A 'tts' element with the narration text, voice info, and computed duration.
    """
    sections = {}
    current_title = None
    current_text = ""

    try:
        for line in script_text.splitlines():
            line = line.strip()
            if line.startswith("[") and "]" in line:
                bracket_start = line.find("[")
                bracket_end = line.find("]", bracket_start)
                if bracket_start != -1 and bracket_end != -1:
                    if current_title is not None:
                        sections[current_title] = current_text.strip()
                    current_title = line[bracket_start+1:bracket_end]
                    current_text = line[bracket_end+1:].strip()
            elif current_title:
                current_text += line + " "

        if current_title:
            sections[current_title] = current_text.strip()

        elements = []
        for title, narration in sections.items():
            if not title or not narration:
                continue

            media_element = {"type": "media", "prompt": title, "effects": "fade-in"}
            words = narration.split()
            duration = max(3, len(words) * 0.5)
            tts_element = {"type": "tts", "text": narration, "voice": "en", "duration": duration}
            elements.append(media_element)
            elements.append(tts_element)

        return elements
    except Exception as e:
        print(f"Error parsing script: {e}")
        return []

def search_pexels_videos(query, pexels_api_key):
    """Search for a video on Pexels by query and return a random HD video."""
    headers = {'Authorization': pexels_api_key}
    base_url = "https://api.pexels.com/videos/search"
    num_pages = 3
    videos_per_page = 15

    max_retries = 3
    retry_delay = 1

    search_query = query
    all_videos = []

    for page in range(1, num_pages + 1):
        for attempt in range(max_retries):
            try:
                params = {"query": search_query, "per_page": videos_per_page, "page": page}
                response = requests.get(base_url, headers=headers, params=params, timeout=10)

                if response.status_code == 200:
                    data = response.json()
                    videos = data.get("videos", [])

                    if not videos:
                        print(f"No videos found on page {page}.")
                        break

                    for video in videos:
                        video_files = video.get("video_files", [])
                        for file in video_files:
                            if file.get("quality") == "hd":
                                all_videos.append(file.get("link"))
                                break

                    break

                elif response.status_code == 429:
                    print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
                    time.sleep(retry_delay)
                    retry_delay *= 2
                else:
                    print(f"Error fetching videos: {response.status_code} {response.text}")
                    if attempt < max_retries - 1:
                        print(f"Retrying in {retry_delay} seconds...")
                        time.sleep(retry_delay)
                        retry_delay *= 2
                    else:
                        break

            except requests.exceptions.RequestException as e:
                print(f"Request exception: {e}")
                if attempt < max_retries - 1:
                    print(f"Retrying in {retry_delay} seconds...")
                    time.sleep(retry_delay)
                    retry_delay *= 2
                else:
                    break

    if all_videos:
        random_video = random.choice(all_videos)
        print(f"Selected random video from {len(all_videos)} HD videos")
        return random_video
    else:
        print("No suitable videos found after searching all pages.")
        return None

def search_pexels_images(query, pexels_api_key):
    """Search for an image on Pexels by query."""
    headers = {'Authorization': pexels_api_key}
    url = "https://api.pexels.com/v1/search"
    params = {"query": query, "per_page": 5, "orientation": "landscape"}

    max_retries = 3
    retry_delay = 1

    for attempt in range(max_retries):
        try:
            response = requests.get(url, headers=headers, params=params, timeout=10)

            if response.status_code == 200:
                data = response.json()
                photos = data.get("photos", [])
                if photos:
                    photo = random.choice(photos[:min(5, len(photos))])
                    img_url = photo.get("src", {}).get("original")
                    return img_url
                else:
                    print(f"No images found for query: {query}")
                    return None

            elif response.status_code == 429:
                print(f"Rate limit hit (attempt {attempt+1}/{max_retries}). Retrying in {retry_delay} seconds...")
                time.sleep(retry_delay)
                retry_delay *= 2
            else:
                print(f"Error fetching images: {response.status_code} {response.text}")
                if attempt < max_retries - 1:
                    print(f"Retrying in {retry_delay} seconds...")
                    time.sleep(retry_delay)
                    retry_delay *= 2

        except requests.exceptions.RequestException as e:
            print(f"Request exception: {e}")
            if attempt < max_retries - 1:
                print(f"Retrying in {retry_delay} seconds...")
                time.sleep(retry_delay)
                retry_delay *= 2

    print(f"No Pexels images found for query: {query} after all attempts")
    return None

def search_google_images(query):
    """Search for images on Google Images (for news-related queries)"""
    try:
        search_url = f"https://www.google.com/search?q={quote(query)}&tbm=isch"
        headers = {"User-Agent": USER_AGENT}
        response = requests.get(search_url, headers=headers, timeout=10)
        soup = BeautifulSoup(response.text, "html.parser")

        img_tags = soup.find_all("img")
        image_urls = []
        for img in img_tags:
            src = img.get("src", "")
            if src.startswith("http") and "gstatic" not in src:
                image_urls.append(src)

        if image_urls:
            return random.choice(image_urls[:5]) if len(image_urls) >= 5 else image_urls[0]
        else:
            print(f"No Google Images found for query: {query}")
            return None
    except Exception as e:
        print(f"Error in Google Images search: {e}")
        return None

def download_image(image_url, filename):
    """Download an image from a URL to a local file with enhanced error handling."""
    try:
        headers = {"User-Agent": USER_AGENT}
        print(f"Downloading image from: {image_url} to {filename}")
        response = requests.get(image_url, headers=headers, stream=True, timeout=15)
        response.raise_for_status()

        with open(filename, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)

        print(f"Image downloaded successfully to: {filename}")

        try:
            img = Image.open(filename)
            img.verify()
            img = Image.open(filename)
            if img.mode != 'RGB':
                img = img.convert('RGB')
                img.save(filename)
            print(f"Image validated and processed: {filename}")
            return filename
        except Exception as e_validate:
            print(f"Downloaded file is not a valid image: {e_validate}")
            if os.path.exists(filename):
                os.remove(filename)
            return None

    except requests.exceptions.RequestException as e_download:
        print(f"Image download error: {e_download}")
        if os.path.exists(filename):
            os.remove(filename)
        return None
    except Exception as e_general:
        print(f"General error during image processing: {e_general}")
        if os.path.exists(filename):
            os.remove(filename)
        return None

def download_video(video_url, filename):
    """Download a video from a URL to a local file."""
    try:
        response = requests.get(video_url, stream=True, timeout=30)
        response.raise_for_status()
        with open(filename, 'wb') as f:
            for chunk in response.iter_content(chunk_size=8192):
                f.write(chunk)
        print(f"Video downloaded successfully to: {filename}")
        return filename
    except Exception as e:
        print(f"Video download error: {e}")
        if os.path.exists(filename):
            os.remove(filename)
        return None

def generate_media(prompt, user_image=None, current_index=0, total_segments=1):
    """
    Generate a visual asset by first searching for a video or using a specific search strategy.
    For news-related queries, use Google Images.
    Returns a dict: {'path': <file_path>, 'asset_type': 'video' or 'image'}.
    """
    safe_prompt = re.sub(r'[^\w\s-]', '', prompt).strip().replace(' ', '_')

    if "news" in prompt.lower():
        print(f"News-related query detected: {prompt}. Using Google Images...")
        image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_news.jpg")
        image_url = search_google_images(prompt)
        if image_url:
            downloaded_image = download_image(image_url, image_file)
            if downloaded_image:
                print(f"News image saved to {downloaded_image}")
                return {"path": downloaded_image, "asset_type": "image"}
        else:
            print(f"Google Images search failed for prompt: {prompt}")

    if random.random() < video_clip_probability:
        video_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}_video.mp4")
        video_url = search_pexels_videos(prompt, PEXELS_API_KEY)
        if video_url:
            downloaded_video = download_video(video_url, video_file)
            if downloaded_video:
                print(f"Video asset saved to {downloaded_video}")
                return {"path": downloaded_video, "asset_type": "video"}
        else:
            print(f"Pexels video search failed for prompt: {prompt}")

    image_file = os.path.join(TEMP_FOLDER, f"{safe_prompt}.jpg")
    image_url = search_pexels_images(prompt, PEXELS_API_KEY)
    if image_url:
        downloaded_image = download_image(image_url, image_file)
        if downloaded_image:
            print(f"Image asset saved to {downloaded_image}")
            return {"path": downloaded_image, "asset_type": "image"}
        else:
            print(f"Pexels image download failed for prompt: {prompt}")

    fallback_terms = ["nature", "people", "landscape", "technology", "business"]
    for term in fallback_terms:
        print(f"Trying fallback image search with term: {term}")
        fallback_file = os.path.join(TEMP_FOLDER, f"fallback_{term}.jpg")
        fallback_url = search_pexels_images(term, PEXELS_API_KEY)
        if fallback_url:
            downloaded_fallback = download_image(fallback_url, fallback_file)
            if downloaded_fallback:
                print(f"Fallback image saved to {downloaded_fallback}")
                return {"path": downloaded_fallback, "asset_type": "image"}
            else:
                print(f"Fallback image download failed for term: {term}")
        else:
            print(f"Fallback image search failed for term: {term}")

    print(f"Failed to generate visual asset for prompt: {prompt}")
    return None

def generate_silent_audio(duration, sample_rate=24000):
    """Generate a silent WAV audio file lasting 'duration' seconds."""
    num_samples = int(duration * sample_rate)
    silence = np.zeros(num_samples, dtype=np.float32)
    silent_path = os.path.join(TEMP_FOLDER, f"silent_{int(time.time())}.wav")
    sf.write(silent_path, silence, sample_rate)
    print(f"Silent audio generated: {silent_path}")
    return silent_path

def generate_tts(text, voice):
    """
    Generate TTS audio using Kokoro, falling back to gTTS or silent audio if needed.
    """
    safe_text = re.sub(r'[^\w\s-]', '', text[:10]).strip().replace(' ', '_')
    file_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.wav")

    if os.path.exists(file_path):
        print(f"Using cached TTS for text '{text[:10]}...'")
        return file_path

    try:
        kokoro_voice = selected_voice if voice == 'en' else voice
        generator = pipeline(text, voice=kokoro_voice, speed=voice_speed, split_pattern=r'\n+')
        audio_segments = []
        for i, (gs, ps, audio) in enumerate(generator):
            audio_segments.append(audio)
        full_audio = np.concatenate(audio_segments) if len(audio_segments) > 1 else audio_segments[0]
        sf.write(file_path, full_audio, 24000)
        print(f"TTS audio saved to {file_path} (Kokoro)")
        return file_path
    except Exception as e:
        print(f"Error with Kokoro TTS: {e}")
        try:
            print("Falling back to gTTS...")
            tts = gTTS(text=text, lang='en')
            mp3_path = os.path.join(TEMP_FOLDER, f"tts_{safe_text}.mp3")
            tts.save(mp3_path)
            audio = AudioSegment.from_mp3(mp3_path)
            audio.export(file_path, format="wav")
            os.remove(mp3_path)
            print(f"Fallback TTS saved to {file_path} (gTTS)")
            return file_path
        except Exception as fallback_error:
            print(f"Both TTS methods failed: {fallback_error}")
            return generate_silent_audio(duration=max(3, len(text.split()) * 0.5))

def apply_kenburns_effect(clip, target_resolution, effect_type=None):
    """Apply a smooth Ken Burns effect with a single movement pattern."""
    target_w, target_h = target_resolution
    clip_aspect = clip.w / clip.h
    target_aspect = target_w / target_h

    if clip_aspect > target_aspect:
        new_height = target_h
        new_width = int(new_height * clip_aspect)
    else:
        new_width = target_w
        new_height = int(new_width / clip_aspect)

    clip = clip.resize(newsize=(new_width, new_height))
    base_scale = 1.15
    new_width = int(new_width * base_scale)
    new_height = int(new_height * base_scale)
    clip = clip.resize(newsize=(new_width, new_height))

    max_offset_x = new_width - target_w
    max_offset_y = new_height - target_h

    available_effects = ["zoom-in", "zoom-out", "pan-left", "pan-right", "up-left"]
    if effect_type is None or effect_type == "random":
        effect_type = random.choice(available_effects)

    if effect_type == "zoom-in":
        start_zoom = 0.9
        end_zoom = 1.1
        start_center = (new_width / 2, new_height / 2)
        end_center = start_center
    elif effect_type == "zoom-out":
        start_zoom = 1.1
        end_zoom = 0.9
        start_center = (new_width / 2, new_height / 2)
        end_center = start_center
    elif effect_type == "pan-left":
        start_zoom = 1.0
        end_zoom = 1.0
        start_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
        end_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
    elif effect_type == "pan-right":
        start_zoom = 1.0
        end_zoom = 1.0
        start_center = (target_w / 2, (max_offset_y // 2) + target_h / 2)
        end_center = (max_offset_x + target_w / 2, (max_offset_y // 2) + target_h / 2)
    elif effect_type == "up-left":
        start_zoom = 1.0
        end_zoom = 1.0
        start_center = (max_offset_x + target_w / 2, max_offset_y + target_h / 2)
        end_center = (target_w / 2, target_h / 2)
    else:
        raise ValueError(f"Unsupported effect_type: {effect_type}")

    def transform_frame(get_frame, t):
        frame = get_frame(t)
        ratio = t / clip.duration if clip.duration > 0 else 0
        ratio = 0.5 - 0.5 * math.cos(math.pi * ratio)
        current_zoom = start_zoom + (end_zoom - start_zoom) * ratio
        crop_w = int(target_w / current_zoom)
        crop_h = int(target_h / current_zoom)
        current_center_x = start_center[0] + (end_center[0] - start_center[0]) * ratio
        current_center_y = start_center[1] + (end_center[1] - start_center[1]) * ratio
        min_center_x = crop_w / 2
        max_center_x = new_width - crop_w / 2
        min_center_y = crop_h / 2
        max_center_y = new_height - crop_h / 2
        current_center_x = max(min_center_x, min(current_center_x, max_center_x))
        current_center_y = max(min_center_y, min(current_center_y, max_center_y))
        cropped_frame = cv2.getRectSubPix(frame, (crop_w, crop_h), (current_center_x, current_center_y))
        resized_frame = cv2.resize(cropped_frame, (target_w, target_h), interpolation=cv2.INTER_LANCZOS4)
        return resized_frame

    return clip.fl(transform_frame)

def resize_to_fill(clip, target_resolution):
    """Resize and crop a clip to fill the target resolution while maintaining aspect ratio."""
    target_w, target_h = target_resolution
    clip_aspect = clip.w / clip.h
    target_aspect = target_w / target_h

    if clip_aspect > target_aspect:
        clip = clip.resize(height=target_h)
        crop_amount = (clip.w - target_w) / 2
        clip = clip.crop(x1=crop_amount, x2=clip.w - crop_amount, y1=0, y2=clip.h)
    else:
        clip = clip.resize(width=target_w)
        crop_amount = (clip.h - target_h) / 2
        clip = clip.crop(x1=0, x2=clip.w, y1=crop_amount, y2=clip.h - crop_amount)

    return clip

def find_mp3_files():
    """Search for any MP3 files in the current directory and subdirectories."""
    mp3_files = []
    for root, dirs, files in os.walk('.'):
        for file in files:
            if file.endswith('.mp3'):
                mp3_path = os.path.join(root, file)
                mp3_files.append(mp3_path)
                print(f"Found MP3 file: {mp3_path}")
    return mp3_files[0] if mp3_files else None

def add_background_music(final_video, bg_music_volume=0.10):
    """Add background music to the final video using any MP3 file found."""
    try:
        bg_music_path = "music.mp3"
        if bg_music_path and os.path.exists(bg_music_path):
            print(f"Adding background music from: {bg_music_path}")
            bg_music = AudioFileClip(bg_music_path)
            if bg_music.duration < final_video.duration:
                loops_needed = math.ceil(final_video.duration / bg_music.duration)
                bg_segments = [bg_music] * loops_needed
                bg_music = concatenate_audioclips(bg_segments)
            bg_music = bg_music.subclip(0, final_video.duration)
            bg_music = bg_music.volumex(bg_music_volume)
            video_audio = final_video.audio
            mixed_audio = CompositeAudioClip([video_audio, bg_music])
            final_video = final_video.set_audio(mixed_audio)
            print("Background music added successfully")
        else:
            print("No MP3 files found, skipping background music")
        return final_video
    except Exception as e:
        print(f"Error adding background music: {e}")
        print("Continuing without background music")
        return final_video

def create_clip(media_path, asset_type, tts_path, duration=None, effects=None, narration_text=None, segment_index=0):
    """Create a video clip with synchronized subtitles and narration."""
    try:
        print(f"Creating clip #{segment_index} with asset_type: {asset_type}, media_path: {media_path}")
        if not os.path.exists(media_path) or not os.path.exists(tts_path):
            print("Missing media or TTS file")
            return None

        audio_clip = AudioFileClip(tts_path).audio_fadeout(0.2)
        audio_duration = audio_clip.duration
        target_duration = audio_duration + 0.2

        if asset_type == "video":
            clip = VideoFileClip(media_path)
            clip = resize_to_fill(clip, TARGET_RESOLUTION)
            if clip.duration < target_duration:
                clip = clip.loop(duration=target_duration)
            else:
                clip = clip.subclip(0, target_duration)
        elif asset_type == "image":
            img = Image.open(media_path)
            if img.mode != 'RGB':
                with tempfile.NamedTemporaryFile(suffix='.jpg', delete=False) as temp:
                    img.convert('RGB').save(temp.name)
                    media_path = temp.name
                img.close()
            clip = ImageClip(media_path).set_duration(target_duration)
            clip = apply_kenburns_effect(clip, TARGET_RESOLUTION)
            clip = clip.fadein(0.3).fadeout(0.3)
        else:
            return None

        if narration_text and CAPTION_COLOR != "transparent":
            try:
                words = narration_text.split()
                chunks = []
                current_chunk = []
                for word in words:
                    current_chunk.append(word)
                    if len(current_chunk) >= 5:
                        chunks.append(' '.join(current_chunk))
                        current_chunk = []
                if current_chunk:
                    chunks.append(' '.join(current_chunk))

                chunk_duration = audio_duration / len(chunks)
                subtitle_clips = []
                subtitle_y_position = int(TARGET_RESOLUTION[1] * 0.70)

                for i, chunk_text in enumerate(chunks):
                    start_time = i * chunk_duration
                    end_time = (i + 1) * chunk_duration
                    txt_clip = TextClip(
                        chunk_text,
                        fontsize=45,
                        font='Arial-Bold',
                        color=CAPTION_COLOR,
                        bg_color='rgba(0, 0, 0, 0.25)',
                        method='caption',
                        align='center',
                        stroke_width=2,
                        stroke_color=CAPTION_COLOR,
                        size=(TARGET_RESOLUTION[0] * 0.8, None)
                    ).set_start(start_time).set_end(end_time)
                    txt_clip = txt_clip.set_position(('center', subtitle_y_position))
                    subtitle_clips.append(txt_clip)

                clip = CompositeVideoClip([clip] + subtitle_clips)
            except Exception as sub_error:
                print(f"Subtitle error: {sub_error}")
                txt_clip = TextClip(
                    narration_text,
                    fontsize=font_size,
                    color=CAPTION_COLOR,
                    align='center',
                    size=(TARGET_RESOLUTION[0] * 0.7, None)
                ).set_position(('center', int(TARGET_RESOLUTION[1] / 3))).set_duration(clip.duration)
                clip = CompositeVideoClip([clip, txt_clip])

        clip = clip.set_audio(audio_clip)
        print(f"Clip created: {clip.duration:.1f}s")
        return clip
    except Exception as e:
        print(f"Error in create_clip: {str(e)}")
        return None

def fix_imagemagick_policy():
    """Fix ImageMagick security policies."""
    try:
        print("Attempting to fix ImageMagick security policies...")
        policy_paths = [
            "/etc/ImageMagick-6/policy.xml",
            "/etc/ImageMagick-7/policy.xml",
            "/etc/ImageMagick/policy.xml",
            "/usr/local/etc/ImageMagick-7/policy.xml"
        ]
        found_policy = next((path for path in policy_paths if os.path.exists(path)), None)
        if not found_policy:
            print("No policy.xml found. Using alternative subtitle method.")
            return False
        print(f"Modifying policy file at {found_policy}")
        os.system(f"sudo cp {found_policy} {found_policy}.bak")
        os.system(f"sudo sed -i 's/rights=\"none\"/rights=\"read|write\"/g' {found_policy}")
        os.system(f"sudo sed -i 's/<policy domain=\"path\" pattern=\"@\*\"[^>]*>/<policy domain=\"path\" pattern=\"@*\" rights=\"read|write\"/g' {found_policy}")
        os.system(f"sudo sed -i 's/<policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"[^>]*>/<!-- <policy domain=\"coder\" rights=\"none\" pattern=\"PDF\"> -->/g' {found_policy}")
        print("ImageMagick policies updated successfully.")
        return True
    except Exception as e:
        print(f"Error fixing policies: {e}")
        return False



























# ---------------- Main Video Generation Function ---------------- #
def generate_video(user_input, resolution, caption_option):
    """Generate a video based on user input via Gradio."""
    global TARGET_RESOLUTION, CAPTION_COLOR, TEMP_FOLDER
    
    # Set resolution
    if resolution == "Full":
        TARGET_RESOLUTION = (1920, 1080)
    elif resolution == "Short":
        TARGET_RESOLUTION = (1080, 1920)
    else:
        TARGET_RESOLUTION = (1920, 1080)  # Default

    # Set caption color
    CAPTION_COLOR = "white" if caption_option == "Yes" else "transparent"

    # Create a unique temporary folder
    TEMP_FOLDER = tempfile.mkdtemp()

    # Fix ImageMagick policy
    fix_success = fix_imagemagick_policy()
    if not fix_success:
        print("Will use alternative methods if needed")

    print("Generating script from API...")
    script = generate_script(user_input)
    if not script:
        print("Failed to generate script.")
        shutil.rmtree(TEMP_FOLDER)
        return None
    print("Generated Script:\n", script)
    elements = parse_script(script)
    if not elements:
        print("Failed to parse script into elements.")
        shutil.rmtree(TEMP_FOLDER)
        return None
    print(f"Parsed {len(elements)//2} script segments.")

    paired_elements = []
    for i in range(0, len(elements), 2):
        if i + 1 < len(elements):
            paired_elements.append((elements[i], elements[i + 1]))

    if not paired_elements:
        print("No valid script segments found.")
        shutil.rmtree(TEMP_FOLDER)
        return None

    clips = []
    for idx, (media_elem, tts_elem) in enumerate(paired_elements):
        print(f"\nProcessing segment {idx+1}/{len(paired_elements)} with prompt: '{media_elem['prompt']}'")
        media_asset = generate_media(media_elem['prompt'], current_index=idx, total_segments=len(paired_elements))
        if not media_asset:
            print(f"Skipping segment {idx+1} due to missing media asset.")
            continue
        tts_path = generate_tts(tts_elem['text'], tts_elem['voice'])
        if not tts_path:
            print(f"Skipping segment {idx+1} due to TTS generation failure.")
            continue
        clip = create_clip(
            media_path=media_asset['path'],
            asset_type=media_asset['asset_type'],
            tts_path=tts_path,
            duration=tts_elem['duration'],
            effects=media_elem.get('effects', 'fade-in'),
            narration_text=tts_elem['text'],
            segment_index=idx
        )
        if clip:
            clips.append(clip)
        else:
            print(f"Clip creation failed for segment {idx+1}.")

    if not clips:
        print("No clips were successfully created.")
        shutil.rmtree(TEMP_FOLDER)
        return None

    print("\nConcatenating clips...")
    final_video = concatenate_videoclips(clips, method="compose")
    final_video = add_background_music(final_video, bg_music_volume=bg_music_volume)

    print(f"Exporting final video to {OUTPUT_VIDEO_FILENAME}...")
    final_video.write_videofile(OUTPUT_VIDEO_FILENAME, codec='libx264', fps=fps, preset=preset)
    print(f"Final video saved as {OUTPUT_VIDEO_FILENAME}")

    # Clean up
    print("Cleaning up temporary files...")
    shutil.rmtree(TEMP_FOLDER)
    print("Temporary files removed.")

    return OUTPUT_VIDEO_FILENAME

# ---------------- Gradio Interface ---------------- #
VOICE_CHOICES = {
    'Emma (Female)': 'af_heart',
    'Bella (Female)': 'af_bella',
    'Nicole (Female)': 'af_nicole',
    'Aoede (Female)': 'af_aoede',
    'Kore (Female)': 'af_kore',
    'Sarah (Female)': 'af_sarah',
    'Nova (Female)': 'af_nova',
    'Sky (Female)': 'af_sky',
    'Alloy (Female)': 'af_alloy',
    'Jessica (Female)': 'af_jessica',
    'River (Female)': 'af_river',
    'Michael (Male)': 'am_michael',
    'Fenrir (Male)': 'am_fenrir',
    'Puck (Male)': 'am_puck',
    'Echo (Male)': 'am_echo',
    'Eric (Male)': 'am_eric',
    'Liam (Male)': 'am_liam',
    'Onyx (Male)': 'am_onyx',
    'Santa (Male)': 'am_santa',
    'Adam (Male)': 'am_adam',
    'Emma 🇬🇧 (Female)': 'bf_emma',
    'Isabella 🇬🇧 (Female)': 'bf_isabella',
    'Alice 🇬🇧 (Female)': 'bf_alice',
    'Lily 🇬🇧 (Female)': 'bf_lily',
    'George 🇬🇧 (Male)': 'bm_george',
    'Fable 🇬🇧 (Male)': 'bm_fable',
    'Lewis 🇬🇧 (Male)': 'bm_lewis',
    'Daniel 🇬🇧 (Male)': 'bm_daniel'
}

def generate_video_with_options(user_input, resolution, caption_option, music_file, voice, vclip_prob, bg_vol, video_fps, video_preset, v_speed, caption_size):
    global selected_voice, voice_speed, font_size, video_clip_probability, bg_music_volume, fps, preset
    
    # Update global variables with user selections
    selected_voice = VOICE_CHOICES[voice]
    voice_speed = v_speed
    font_size = caption_size
    video_clip_probability = vclip_prob / 100  # Convert from percentage to decimal
    bg_music_volume = bg_vol
    fps = video_fps
    preset = video_preset
    
    # Handle music upload
    if music_file is not None:
        target_path = "music.mp3"
        shutil.copy(music_file.name, target_path)
        print(f"Uploaded music saved as: {target_path}")
    
    # Generate the video
    return generate_video(user_input, resolution, caption_option)

# Create the Gradio interface
iface = gr.Interface(
    fn=generate_video_with_options,
    inputs=[
        gr.Textbox(label="Video Concept", placeholder="Enter your video concept here..."),
        gr.Radio(["Full", "Short"], label="Resolution", value="Full"),
        gr.Radio(["Yes", "No"], label="Captions", value="Yes"),
        gr.File(label="Upload Background Music (MP3)", file_types=[".mp3"]),
        gr.Dropdown(choices=list(VOICE_CHOICES.keys()), label="Choose Voice", value="Emma (Female)"),
        gr.Slider(0, 100, value=25, step=1, label="Video Clip Usage Probability (%)"),
        gr.Slider(0.0, 1.0, value=0.08, step=0.01, label="Background Music Volume"),
        gr.Slider(10, 60, value=30, step=1, label="Video FPS"),
        gr.Dropdown(choices=["ultrafast", "superfast", "veryfast", "faster", "fast", "medium", "slow"], 
                   value="veryfast", label="Export Preset"),
        gr.Slider(0.5, 1.5, value=0.9, step=0.05, label="Voice Speed"),
        gr.Slider(20, 100, value=45, step=1, label="Caption Font Size")
    ],
    outputs=gr.Video(label="Generated Video"),
    title="AI Documentary Video Generator",
    description="Create short documentary videos with AI. Upload music, choose voice, and customize settings."
)

# Launch the interface
if __name__ == "__main__":
    iface.launch(share=True)